#include "IR/TFAdd.h"
#include "IR/TFFusedBatchNorm.h"
+#include "IR/TFMul.h"
#endif // __MOCO_TF_DIALECT_TFNODES_H__
// TENSORFLOW_NODE(OPCODE, CLASS)
TENSORFLOW_NODE(Add, TFAdd)
TENSORFLOW_NODE(FusedBatchNorm, TFFusedBatchNorm)
+TENSORFLOW_NODE(Mul, TFMul)
--- /dev/null
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __MOCO_TF_IR_TFMUL_H__
+#define __MOCO_TF_IR_TFMUL_H__
+
+#include "Dialect/TFNodeDecl.h"
+
+namespace moco
+{
+namespace tf
+{
+
+/// @note TFMul corresponds to the following GraphDef
+/*
+node {
+ name: "mul"
+ op: "Mul"
+ input: "x"
+ input: "y"
+ attr {
+ key: "T"
+ value {
+ type: DT_FLOAT
+ }
+ }
+}
+*/
+
+class TFMul final : public loco::FixedArityNode<2, TFNodeImpl<TFOpcode::Mul>>
+{
+public:
+ TFMul() = default;
+
+public:
+ Node *x(void) const { return at(0)->node(); }
+ void x(Node *node) { at(0)->node(node); }
+
+ Node *y(void) const { return at(1)->node(); }
+ void y(Node *node) { at(1)->node(node); }
+};
+
+} // namespace tf
+} // namespace moco
+
+#endif // __MOCO_TF_IR_TFMUL_H__
--- /dev/null
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "IR/TFMul.h"
+
+#include "Dialect/TFDialect.h"
+
+#include <gtest/gtest.h>
+
+TEST(TFMulTest, constructor)
+{
+ moco::tf::TFMul mul_node;
+
+ ASSERT_EQ(mul_node.dialect(), moco::tf::TFDialect::get());
+ ASSERT_EQ(mul_node.opcode(), moco::tf::TFOpcode::Mul);
+
+ ASSERT_EQ(mul_node.x(), nullptr);
+ ASSERT_EQ(mul_node.y(), nullptr);
+}
return false;
}
+bool fix_padding(moco::tf::TFMul *node)
+{
+ // Nothing to do with padding
+ return false;
+}
+
} // namespace
namespace moco
return copy_shapedata(input, node);
}
+bool fix_shape(moco::tf::TFMul *node)
+{
+ auto x = node->x();
+ auto y = node->y();
+ auto x_shapedata = x->annot<ShapeInferenceData>();
+ auto y_shapedata = y->annot<ShapeInferenceData>();
+ if (x_shapedata == nullptr || y_shapedata == nullptr)
+ {
+ return false;
+ }
+ // TODO check shape difference
+
+ // Output shape is same as the input
+ return copy_shapedata(x, node);
+}
+
} // namespace
namespace moco